The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
Auditory data provide many contextual cues about the crucial content of environments around. The goal of audio based context recognition is to equip the sensing devices with class...
All high-performance production JVMs employ an adaptive strategy for program execution. Methods are first executed unoptimized and then an online profiling mechanism is used to ...
Dries Buytaert, Andy Georges, Michael Hind, Matthe...
Many real-time applications are designed to work in different operating modes each characterized by different functionality and resource demands. With each mode change, resource d...
Nikolay Stoimenov, Lothar Thiele, Luca Santinelli,...
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...